exclusive vector meson production with impact parameter
TRANSCRIPT
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Exclusive vector meson production with impact parameter dependentBalitsky-Kovchegov evolution equation [1]
Dagmar Bendovain collaboration with M. Matas, J. Cepila and J. G. Contreras
Czech Technical University in PragueFaculty of Nuclear Sciences and Physical Engineering
19. Zimanyi School - Winter Workshop on Heavy Ion Physics, Budapest, Hungary
4th December, 2019
[1]Based on: Phys. Rev. D 99, 051502 and Phys. Rev. D 100, 054015Dagmar Bendova 1 / 13
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Motivation: Saturation of gluon densities
Figure: Diagram picturing the QCD evolutionof the partonic structure of the proton.C. Marquet, Nucl.Phys. A904-905 (2013) 294c-301c.
Exclusive production of a vector meson
is very sensitive to gluon densities.
An excellent probe of saturation effects.
Figure: Exclusive production of a vector meson.
Dagmar Bendova 2 / 13
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Motivation: Saturation of gluon densities
Figure: Diagram picturing the QCD evolutionof the partonic structure of the proton.C. Marquet, Nucl.Phys. A904-905 (2013) 294c-301c.
Exclusive production of a vector meson
is very sensitive to gluon densities.
An excellent probe of saturation effects.
Figure: Exclusive production of a vector meson.
Dagmar Bendova 2 / 13
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Vector meson production in the color dipole picture
Exclusive cross section to produce the vector meson
dσγ∗p→VMp
d|t|
∣∣∣∣T ,L
=
(RT ,Lg
)2(1 + β2
T ,L)
16π
∣∣〈Aγ∗p→VMpT ,L 〉
∣∣2.
The scattering amplitude is given as a convolution of the photon-VM wave function
with the dipole cross section:
AT ,L(x ,Q2, ~∆) = i
∫d~r
1∫0
dz
4π
∫d~b|Ψ∗VMΨγ∗ |T ,L exp
[−i(~b − (1− z)~r
)~∆] dσqq
d~b.
γ∗VM
r
1− z
z
b
x x′
p p
(1− z)r
zr
q
q
Figure: Schematic picture of vector meson production within the color dipole approach.
Dagmar Bendova 3 / 13
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Vector meson production in the color dipole picture
Exclusive cross section to produce the vector meson
dσγ∗p→VMp
d|t|
∣∣∣∣T ,L
=
(RT ,Lg
)2(1 + β2
T ,L)
16π
∣∣〈Aγ∗p→VMpT ,L 〉
∣∣2.The scattering amplitude is given as a convolution of the photon-VM wave function
with the dipole cross section:
AT ,L(x ,Q2, ~∆) = i
∫d~r
1∫0
dz
4π
∫d~b|Ψ∗VMΨγ∗ |T ,L exp
[−i(~b − (1− z)~r
)~∆] dσqq
d~b.
γ∗VM
r
1− z
z
b
x x′
p p
(1− z)r
zr
q
q
Figure: Schematic picture of vector meson production within the color dipole approach.
Dagmar Bendova 3 / 13
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Dipole-target cross section
Carries information about the strong interaction between the dipole and the proton.
The differential dipole-proton cross section is given by the dipole scattering
amplitudedσqq
d~b= 2N(x , ~r , ~b).
Approach to the dipole amplitude N(x , ~r , ~b)
I Factorization of the impact parameter dependence [2]
dσqq
d~b→ σ0N(x , ~r)Tp(~b).
F Tp(~b) – proton profile in the impact-parameter plane
F σ0 – multiplicative factor obtained from fit to data or from normalization
I Numerical solution of the Balitsky–Kovchegov (BK) equation with b-dependence.
F Demanding on computational resources.
F Until recently, the problem of Coulomb tails.
[2]e.g. Phys. Lett. B766 (2017) 186; Nucl. Phys. B934 (2018) 330; Phys. Rev. D99 (2019) 034025
Dagmar Bendova 4 / 13
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Dipole-target cross section
Carries information about the strong interaction between the dipole and the proton.
The differential dipole-proton cross section is given by the dipole scattering
amplitudedσqq
d~b= 2N(x , ~r , ~b).
Approach to the dipole amplitude N(x , ~r , ~b)
I Factorization of the impact parameter dependence [2]
dσqq
d~b→ σ0N(x , ~r)Tp(~b).
F Tp(~b) – proton profile in the impact-parameter plane
F σ0 – multiplicative factor obtained from fit to data or from normalization
I Numerical solution of the Balitsky–Kovchegov (BK) equation with b-dependence.
F Demanding on computational resources.
F Until recently, the problem of Coulomb tails.
[2]e.g. Phys. Lett. B766 (2017) 186; Nucl. Phys. B934 (2018) 330; Phys. Rev. D99 (2019) 034025
Dagmar Bendova 4 / 13
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Dipole-target cross section
Carries information about the strong interaction between the dipole and the proton.
The differential dipole-proton cross section is given by the dipole scattering
amplitudedσqq
d~b= 2N(x , ~r , ~b).
Approach to the dipole amplitude N(x , ~r , ~b)
I Factorization of the impact parameter dependence [2]
dσqq
d~b→ σ0N(x , ~r)Tp(~b).
F Tp(~b) – proton profile in the impact-parameter plane
F σ0 – multiplicative factor obtained from fit to data or from normalization
I Numerical solution of the Balitsky–Kovchegov (BK) equation with b-dependence.
F Demanding on computational resources.
F Until recently, the problem of Coulomb tails.
[2]e.g. Phys. Lett. B766 (2017) 186; Nucl. Phys. B934 (2018) 330; Phys. Rev. D99 (2019) 034025
Dagmar Bendova 4 / 13
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Dipole-target cross section
Carries information about the strong interaction between the dipole and the proton.
The differential dipole-proton cross section is given by the dipole scattering
amplitudedσqq
d~b= 2N(x , ~r , ~b).
Approach to the dipole amplitude N(x , ~r , ~b)
I Factorization of the impact parameter dependence [2]
dσqq
d~b→ σ0N(x , ~r)Tp(~b).
F Tp(~b) – proton profile in the impact-parameter plane
F σ0 – multiplicative factor obtained from fit to data or from normalization
I Numerical solution of the Balitsky–Kovchegov (BK) equation with b-dependence.
F Demanding on computational resources.
F Until recently, the problem of Coulomb tails.
[2]e.g. Phys. Lett. B766 (2017) 186; Nucl. Phys. B934 (2018) 330; Phys. Rev. D99 (2019) 034025
Dagmar Bendova 4 / 13
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Balitsky–Kovchegov evolution equation
Evolution with rapidity Y ∼ ln(
1x
)of the scattering amplitude N(~r , ~b,Y ) of a qq
dipole with a hadronic target
∂N(~r , ~b,Y )
∂Y=
∫d~r1K(r , r1, r2)
(N(~r1, ~b1,Y ) + N(~r2, ~b2,Y ) − N(~r , ~b,Y ) − N(~r1, ~b1,Y )N(~r2, ~b2,Y )
)
Describes the dressing of a color dipole with the evolution to higher energies.
J. L. Albacete et al., Phys. Rev. D 71 (2005) 014003
Dagmar Bendova 5 / 13
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Balitsky–Kovchegov evolution equation
Evolution with rapidity Y ∼ ln(
1x
)of the scattering amplitude N(~r , ~b,Y ) of a qq
dipole with a hadronic target
∂N(~r , ~b,Y )
∂Y=
∫d~r1K(r , r1, r2)
(N(~r1, ~b1,Y ) + N(~r2, ~b2,Y ) − N(~r , ~b,Y ) − N(~r1, ~b1,Y )N(~r2, ~b2,Y )
)
Describes the dressing of a color dipole with the evolution to higher energies.
J. L. Albacete et al., Phys. Rev. D 71 (2005) 014003
Dagmar Bendova 5 / 13
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Evolution kernel
Describes the probability of a gluon emission.
Different approximations of the probability calculation lead to several forms of
kernels.
Running coupling kernel [3]
K rc(r , r1, r2) =αS(r 2)NC
2π2
[r 2
r 21 r
22
+1
r 21
(αS(r 2
1 )
αS(r 22 )− 1
)+
1
r 22
(αS(r 2
2 )
αS(r 21 )− 1
)]
Collinearly improved kernel [4]
K ci (r , r1, r2) =αS
2π
r 2
r 21 r
22
[r 2
min(r 21 , r
22 )
]±αSA1
KDLA
(√Lr1rLr2r
)
KDLA(ρ) =J1(2
√αSρ2)√αSρ
, Lri ,r = ln
(r 2i
r 2
)
[3]I. Balitsky, Phys. Rev. D 75 (2007) 014001[4]E. Iancu et al., Phys. Lett. B 750 (2015) 643; A. Sabio Vera, Nucl. Phys. B722 (2005) 65
Dagmar Bendova 6 / 13
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Evolution kernel
Describes the probability of a gluon emission.
Different approximations of the probability calculation lead to several forms of
kernels.
Running coupling kernel [3]
K rc(r , r1, r2) =αS(r 2)NC
2π2
[r 2
r 21 r
22
+1
r 21
(αS(r 2
1 )
αS(r 22 )− 1
)+
1
r 22
(αS(r 2
2 )
αS(r 21 )− 1
)]
Collinearly improved kernel [4]
K ci (r , r1, r2) =αS
2π
r 2
r 21 r
22
[r 2
min(r 21 , r
22 )
]±αSA1
KDLA
(√Lr1rLr2r
)
KDLA(ρ) =J1(2
√αSρ2)√αSρ
, Lri ,r = ln
(r 2i
r 2
)
[3]I. Balitsky, Phys. Rev. D 75 (2007) 014001[4]E. Iancu et al., Phys. Lett. B 750 (2015) 643; A. Sabio Vera, Nucl. Phys. B722 (2005) 65
Dagmar Bendova 6 / 13
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Evolution kernel
Describes the probability of a gluon emission.
Different approximations of the probability calculation lead to several forms of
kernels.
Running coupling kernel [3]
K rc(r , r1, r2) =αS(r 2)NC
2π2
[r 2
r 21 r
22
+1
r 21
(αS(r 2
1 )
αS(r 22 )− 1
)+
1
r 22
(αS(r 2
2 )
αS(r 21 )− 1
)]
Collinearly improved kernel [4]
K ci (r , r1, r2) =αS
2π
r 2
r 21 r
22
[r 2
min(r 21 , r
22 )
]±αSA1
KDLA
(√Lr1rLr2r
)
KDLA(ρ) =J1(2
√αSρ2)√αSρ
, Lri ,r = ln
(r 2i
r 2
)[3]I. Balitsky, Phys. Rev. D 75 (2007) 014001[4]E. Iancu et al., Phys. Lett. B 750 (2015) 643; A. Sabio Vera, Nucl. Phys. B722 (2005) 65
Dagmar Bendova 6 / 13
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Implementation of impact parameter dependence
The equation is solved using a new initial condition that takes into account the
location of the end-points of the dipole
N(~r , ~b,Y = 0) = 1− exp
[−1
2
Q2S
4r 2T (~bq1 ,
~bq2 )
]T (~bq1 ,
~bq2 ) = exp
(−b2q1
2B
)+ exp
(−b2q2
2B
)
r
1qb
2qb
proton
J. Cepila, J. G. Contreras, M. Matas; Phys. Rev. D 99, 051502
The r behavior mimics the models
for the b-independent dipole
amplitude.
The b behavior contains an
exponential fall-off for dipole-ends
far away from the target.
Dagmar Bendova 7 / 13
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Implementation of impact parameter dependence
The equation is solved using a new initial condition that takes into account the
location of the end-points of the dipole
N(~r , ~b,Y = 0) = 1− exp
[−1
2
Q2S
4r 2T (~bq1 ,
~bq2 )
]T (~bq1 ,
~bq2 ) = exp
(−b2q1
2B
)+ exp
(−b2q2
2B
)r
1qb
2qb
proton
J. Cepila, J. G. Contreras, M. Matas; Phys. Rev. D 99, 051502
The r behavior mimics the models
for the b-independent dipole
amplitude.
The b behavior contains an
exponential fall-off for dipole-ends
far away from the target.
Dagmar Bendova 7 / 13
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The problem of Coulomb tails
Evolution with exponentially falling initial condition and K rc increases large dipoles
into a power-like growth.
I Destroys the predictive power of BK equation, doesn’t allow for phenomenological
applications.
I The growth violates the Martin-Froissart bound.
10−1 100 101 102
b [GeV−1]
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
N(r=
1.0
,b,Y)
Scattering amplitude for r = 1.0 [GeV−1]
Initial condition N(b, Y = 0)
Nci(b, Y = 1)
Nci(b, Y = 3)
Nci(b, Y = 10)
Nrc(b, Y = 1)
Nrc(b, Y = 3)
Nrc(b, Y = 10)
J. Cepila, J. G. Contreras, M. Matas; Phys. Rev. D 99, 051502
Evolution at high-b can be suppressed by
suppressing large daughter dipoles
I By introducing a kernel cut-off a
F cut-off too strong
F predictive power isn’t restored
I Using a collinearly improved kernel K ci
F ressums single and double collinear
logarithms
F large daughter dipoles are suppressed.
aJ. Berger, A. M. Stasto, Phys. Rev. D 84 (2011) 094022
Dagmar Bendova 8 / 13
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The problem of Coulomb tails
Evolution with exponentially falling initial condition and K rc increases large dipoles
into a power-like growth.
I Destroys the predictive power of BK equation, doesn’t allow for phenomenological
applications.
I The growth violates the Martin-Froissart bound.
10−1 100 101 102
b [GeV−1]
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
N(r=
1.0
,b,Y)
Scattering amplitude for r = 1.0 [GeV−1]
Initial condition N(b, Y = 0)
Nci(b, Y = 1)
Nci(b, Y = 3)
Nci(b, Y = 10)
Nrc(b, Y = 1)
Nrc(b, Y = 3)
Nrc(b, Y = 10)
J. Cepila, J. G. Contreras, M. Matas; Phys. Rev. D 99, 051502
Evolution at high-b can be suppressed by
suppressing large daughter dipoles
I By introducing a kernel cut-off a
F cut-off too strong
F predictive power isn’t restored
I Using a collinearly improved kernel K ci
F ressums single and double collinear
logarithms
F large daughter dipoles are suppressed.
aJ. Berger, A. M. Stasto, Phys. Rev. D 84 (2011) 094022
Dagmar Bendova 8 / 13
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Phenomenology with b-BK
Impact parameter dependent dipole amplitude can be used to study several
processes and observables
I Deep Inelastic Scattering - structure functions F2
I Gluon distribution functions (Weiszacker–Williams distribution)
I Nuclear F2
I Exclusive photo- and electroproduction of vector mesons (this talk)
Dagmar Bendova 9 / 13
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Phenomenology with b-BK
Impact parameter dependent dipole amplitude can be used to study several
processes and observables
I Deep Inelastic Scattering - structure functions F2
I Gluon distribution functions (Weiszacker–Williams distribution)
I Nuclear F2
I Exclusive photo- and electroproduction of vector mesons (this talk)
Dagmar Bendova 9 / 13
![Page 21: Exclusive vector meson production with impact parameter](https://reader036.vdocument.in/reader036/viewer/2022062523/62b42d375152bc74062f4548/html5/thumbnails/21.jpg)
Phenomenology with b-BK
Impact parameter dependent dipole amplitude can be used to study several
processes and observables
I Deep Inelastic Scattering - structure functions F2
I Gluon distribution functions (Weiszacker–Williams distribution)
I Nuclear F2
I Exclusive photo- and electroproduction of vector mesons (this talk)
Dagmar Bendova 9 / 13
![Page 22: Exclusive vector meson production with impact parameter](https://reader036.vdocument.in/reader036/viewer/2022062523/62b42d375152bc74062f4548/html5/thumbnails/22.jpg)
Phenomenology with b-BK
Impact parameter dependent dipole amplitude can be used to study several
processes and observables
I Deep Inelastic Scattering - structure functions F2
I Gluon distribution functions (Weiszacker–Williams distribution)
I Nuclear F2
I Exclusive photo- and electroproduction of vector mesons (this talk)
Dagmar Bendova 9 / 13
![Page 23: Exclusive vector meson production with impact parameter](https://reader036.vdocument.in/reader036/viewer/2022062523/62b42d375152bc74062f4548/html5/thumbnails/23.jpg)
Phenomenology with b-BK
Impact parameter dependent dipole amplitude can be used to study several
processes and observables
I Deep Inelastic Scattering - structure functions F2
I Gluon distribution functions (Weiszacker–Williams distribution)
I Nuclear F2
I Exclusive photo- and electroproduction of vector mesons (this talk)
Dagmar Bendova 9 / 13
![Page 24: Exclusive vector meson production with impact parameter](https://reader036.vdocument.in/reader036/viewer/2022062523/62b42d375152bc74062f4548/html5/thumbnails/24.jpg)
Predictions and comparison with data for cross sections of J/ψ meson
Predictions compared to H1 and ALICE p–Pb data.
0 0.2 0.4 0.6 0.8 1 1.2
]2|t| [GeV
1
10
210
310]2
[nb G
eV
d|t|
pψ
J/
→p
γ
σd
Photoproduction
H1 (2006), <W> = 100 GeV Model
H1 (2013), <W> = 78 GeV Model
H1 (2013), <W> = 55 GeV Model
0 0.2 0.4 0.6 0.8 1 1.2
]2|t| [GeV
1−10
1
10
210
]2
[nb G
eV
d|t|
pψ
J/
→p
γ
σd
= 100 GeVpγ
Electroproduction, W
H1 (2006) 2
= 3.2 GeV2
Model, Q
H1 (2006) 2
= 7.0 GeV2
Model, Q
H1 (2006) 2
= 22.4 GeV2
Model, Q
2103
10
[GeV]pγW
1
10
210
310
[n
b]
pψ
J/
→p
γσ
Photoproduction
H1 (2006)
H1 (2013)
ALICE pPb (2014)
ALICE pPb (2018)2
= 0.05 GeV2
Model, Q
Electroproduction
2 = 3.2 GeV
2Model, Q
2 = 7 GeV
2Model, Q
2 = 22.4 GeV
2Model, Q
H1 (2006)
H1 (2006)
H1 (2006)
D. Bendova, J. Cepila, J. G. Contreras, M. Matas, Phys. Rev. D100 (2019) 054015; references to experimental data in backup
Dagmar Bendova 10 / 13
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Predictions and comparison with data for cross sections of J/ψ meson
Predictions compared to H1 and ALICE p–Pb data.
0 0.2 0.4 0.6 0.8 1 1.2
]2|t| [GeV
1
10
210
310]2
[nb G
eV
d|t|
pψ
J/
→p
γ
σd
Photoproduction
H1 (2006), <W> = 100 GeV Model
H1 (2013), <W> = 78 GeV Model
H1 (2013), <W> = 55 GeV Model
0 0.2 0.4 0.6 0.8 1 1.2
]2|t| [GeV
1−10
1
10
210
]2
[nb G
eV
d|t|
pψ
J/
→p
γ
σd
= 100 GeVpγ
Electroproduction, W
H1 (2006) 2
= 3.2 GeV2
Model, Q
H1 (2006) 2
= 7.0 GeV2
Model, Q
H1 (2006) 2
= 22.4 GeV2
Model, Q
2103
10
[GeV]pγW
1
10
210
310
[n
b]
pψ
J/
→p
γσ
Photoproduction
H1 (2006)
H1 (2013)
ALICE pPb (2014)
ALICE pPb (2018)2
= 0.05 GeV2
Model, Q
Electroproduction
2 = 3.2 GeV
2Model, Q
2 = 7 GeV
2Model, Q
2 = 22.4 GeV
2Model, Q
H1 (2006)
H1 (2006)
H1 (2006)
D. Bendova, J. Cepila, J. G. Contreras, M. Matas, Phys. Rev. D100 (2019) 054015; references to experimental data in backup
Dagmar Bendova 10 / 13
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Predictions and comparison with data for cross sections of J/ψ meson
Predictions compared to H1 and ALICE p–Pb data.
0 0.2 0.4 0.6 0.8 1 1.2
]2|t| [GeV
1
10
210
310]2
[nb G
eV
d|t|
pψ
J/
→p
γ
σd
Photoproduction
H1 (2006), <W> = 100 GeV Model
H1 (2013), <W> = 78 GeV Model
H1 (2013), <W> = 55 GeV Model
0 0.2 0.4 0.6 0.8 1 1.2
]2|t| [GeV
1−10
1
10
210
]2
[nb G
eV
d|t|
pψ
J/
→p
γ
σd
= 100 GeVpγ
Electroproduction, W
H1 (2006) 2
= 3.2 GeV2
Model, Q
H1 (2006) 2
= 7.0 GeV2
Model, Q
H1 (2006) 2
= 22.4 GeV2
Model, Q
2103
10
[GeV]pγW
1
10
210
310
[n
b]
pψ
J/
→p
γσ
Photoproduction
H1 (2006)
H1 (2013)
ALICE pPb (2014)
ALICE pPb (2018)2
= 0.05 GeV2
Model, Q
Electroproduction
2 = 3.2 GeV
2Model, Q
2 = 7 GeV
2Model, Q
2 = 22.4 GeV
2Model, Q
H1 (2006)
H1 (2006)
H1 (2006)
D. Bendova, J. Cepila, J. G. Contreras, M. Matas, Phys. Rev. D100 (2019) 054015; references to experimental data in backup
Dagmar Bendova 10 / 13
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Predictions and comparison with data for cross sections of φ meson
Predictions compared to H1 and ZEUS data.
0 0.2 0.4 0.6 0.8 1
]2|t| [GeV
1−10
1
10
210
310
]2
[n
b G
eV
d|t|
pφ
→p
γσ
d
Electroproduction, <W> = 75 GeV
ZEUS (2005) 2
= 2.4 GeV2
Q
ZEUS (2005) 2
= 3.6 GeV2
Q
H1 (2010) 2
= 6.6 GeV2
Q
ZEUS (2005) 2
= 12.6 GeV2
Q
2103
10
[GeV]pγW
1
10
210
310 [n
b]
pφ
→p
γσ
ZEUS (2005)
ZEUS (2005)
2 = 2.4 GeV2Model, Q
2 = 3.8 GeV2Model, Q
ZEUS (2005), H1 (2010)
ZEUS (2005)
H1 (2010)
2 = 6.6 GeV2Model, Q2 = 13 GeV2Model, Q
2 = 15.8 GeV2Model, Q
D. Bendova, J. Cepila, J. G. Contreras, M. Matas, Phys. Rev. D100 (2019) 054015; references to experimental data in backup
Dagmar Bendova 11 / 13
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Predictions and comparison with data for cross sections of φ meson
Predictions compared to H1 and ZEUS data.
0 0.2 0.4 0.6 0.8 1
]2|t| [GeV
1−10
1
10
210
310
]2
[n
b G
eV
d|t|
pφ
→p
γσ
d
Electroproduction, <W> = 75 GeV
ZEUS (2005) 2
= 2.4 GeV2
Q
ZEUS (2005) 2
= 3.6 GeV2
Q
H1 (2010) 2
= 6.6 GeV2
Q
ZEUS (2005) 2
= 12.6 GeV2
Q
2103
10
[GeV]pγW
1
10
210
310 [n
b]
pφ
→p
γσ
ZEUS (2005)
ZEUS (2005)
2 = 2.4 GeV2Model, Q
2 = 3.8 GeV2Model, Q
ZEUS (2005), H1 (2010)
ZEUS (2005)
H1 (2010)
2 = 6.6 GeV2Model, Q2 = 13 GeV2Model, Q
2 = 15.8 GeV2Model, Q
D. Bendova, J. Cepila, J. G. Contreras, M. Matas, Phys. Rev. D100 (2019) 054015; references to experimental data in backup
Dagmar Bendova 11 / 13
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Predictions and comparison with data for cross sections of Υ meson
Photoproduction predictions compared to H1, ZEUS, CMS and LHCb data.
2103
10
[GeV]pγW
210
310
[p
b]
(1S
)pΥ
→p
γσ
Photoproduction data
ZEUS (2009)
H1 (2000)
LHCb (2015)
CMS (2019)
2 = 0.1 GeV2Model, Q
D. Bendova, J. Cepila, J. G. Contreras, M. Matas, Phys. Rev. D100 (2019) 054015; references to experimental data in backup
Dagmar Bendova 12 / 13
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Conclusions
The collinearly improved kernel suppresses the Coulomb tails → allows for
phenomenological applications.
Successful application of dipole amplitudes obtained by solving b-BK into exclusive
vector meson production.
Good agreement of the predictions with data for φ, J/ψ, and Υ(1S) mesons.
Dagmar Bendova 13 / 13
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Conclusions
The collinearly improved kernel suppresses the Coulomb tails → allows for
phenomenological applications.
Successful application of dipole amplitudes obtained by solving b-BK into exclusive
vector meson production.
Good agreement of the predictions with data for φ, J/ψ, and Υ(1S) mesons.
Dagmar Bendova 13 / 13
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Conclusions
The collinearly improved kernel suppresses the Coulomb tails → allows for
phenomenological applications.
Successful application of dipole amplitudes obtained by solving b-BK into exclusive
vector meson production.
Good agreement of the predictions with data for φ, J/ψ, and Υ(1S) mesons.
Dagmar Bendova 13 / 13
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BACKUP SLIDES
Dagmar Bendova 1 / 6
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Wave functions
The overlap between the photon and vector meson wave functions:
|Ψ∗VMΨγ∗ |T = ef eNC
πz(1− z)
[m2
f K0(εr)φT (r , z)−(z2 + (1− z)2
)εK1(εr)∂rφT (r , z)
],
|Ψ∗VMΨγ∗ |L = ef eNC
π2Qz(1− z)K0(εr)
[MVMφL(r , z) + δ
m2f −∇2
r
MVMz(1− z)φL(r , z)
].
ε = z(1− z)Q2 + m2f ; r ≡ |~r |
Scalar part of VM wave function from Boosted Gaussian model:
φT ,L(r , z) = NT ,Lz(1− z) exp
[− m2
f R2
8z(1− z)− 2z(1− z)r 2
R2+
m2f R
2
2
].
φ2ST ,L(r , z) = φT ,L(r , z)
(1 + α2S
(2 +
m2f R
2
4z(1− z)− 4z(1− z)r 2
R2−m2
f R2
))
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Corrections
Correction on the real part of the amplitude
I AT ,L is not purely imaginary, has a real part
λT ,L ≡∂ ln
(Aγ
∗p→VMpT ,L
)∂ ln
(1x
) , βT ,L = tan
(πλT ,L
2
)(1)
Skewedness correction
I Takes into account the fact, that there are two x involved in the dipole-target
interaction
Rg (λT ,L) =22λT,L+3
√π
Γ(λT ,L + 5
2
)Γ(λT ,L + 4)
(2)
γ∗VM
r
1− z
z
b
x x′
p p
(1− z)r
zr
q
q
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Influence of the individual collinear kernel terms on the Coulomb tails
K 1ci =
αS
2π
r 2
r 21 r
22
; K 2ci =
[r 2
min(r 21 , r
22 )
]±αSA1
; K 3ci = KDLA
(√Lr1rLr2r
)
10−1 100 101 102b [GeV−1]
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
N(r =
1.0 GeV
−1, b
, Y)
K1ci with αs=0.2
K1ci with αs=αs(rmin)
K1ci *K2
ci with αs=αs(rmin)K1ci *K3
ci with αs=αs(rmin)KciKrc with αs=αrunInitial c nditi n N(b, Y = 0)
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DIS: Structure function F2(x ,Q2)
Cross section for γ∗p scattering and structure function F2
σγ∗p
T ,L =∑f
∫d2r
∫dz |Ψ∗Ψ|fT ,Lσqq(x , r), F2(x ,Q2) =
Q2
4π2α(σT + σL).
10−6 10−5 10−4 10−3 10−2x
10−1
100
101
102
103
104
105
F 2(x, Q
2 )
Q2=2.0 GeV2 * 20Q2=2.7 GeV2 * 21Q2=3.5 GeV2 * 22Q2=4.5 GeV2 * 23Q2=6.5 GeV2 * 24Q2=8.5 GeV2 * 25Q2=10.0 GeV2 * 26Q2=12.0 GeV2 * 27Q2=15.0 GeV2 * 28Q2=22.0 GeV2 * 29Q2=35.0 GeV2 * 210Q2=60.0 GeV2 * 211Q2=90.0 GeV2 * 212
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References to experimental data
J/ψ data
I A. Aktas et al. (H1 Collaboration), Eur. Phys. J. C 46 (2006) 585
I C. Alexa et al. (H1 Collaboration), Eur. Phys. J. C 73 (2013) 2466
I B. B. Abelev et al. (ALICE Collaboration), Phys. Rev. Lett. 113 (2014) 232504
I S. Acharya et al. (ALICE Collaboration), Eur. Phys. J. C 79 (2019) 402
φ data
I F. D. Aaron et al. (H1 Collaboration), J. High Energy Phys. 05 (2010) 032
I S. Chekanov et al. (ZEUS Collaboration), Nucl. Phys. B718 (2005) 3
Υ(1S) data
I C. Adloff et al. (H1 Collaboration), Phys. Lett. B 483 (2000) 23
I S. Chekanov et al. (ZEUS Collaboration), Phys. Lett. B 680 (2009) 4
I R. Aaij et al. (LHCb Collaboration), J. High Energy Phys. 09 (2015) 084
I A. M. Sirunyan et al. (CMS Collaboration), Eur. Phys. J. C 79 (2019) 277
Dagmar Bendova 6 / 6